Monza - Ascoli 06.04.2022 20:00: score, statistics, forecasts
Serie B
33 | 2021/2022 | Italy
U-Power Stadium
U-Power Stadium
Home Team Position: 5 (+2)
Away Team Position: 7 (-2)
Away Team Position: 7 (-2)
Game Review
Statistics, predictions, and trends for the match
Live center and statistics
Match statistics, events, and team lineups
Team statistics
Detailed Smart Tables with Filters
Referee statistics
Referee stats with filters for cards and corners
AI match predictions
AI prediction for this match is in this tab
Check match prediction
Match prediction value
Head-to-head
Head 2 Head matches statistics between teams
Trend Search
Specify a trend, and we'll calculate the value and odds
Meeting Statistics
We have detailed tables with filters where you can track average values
Team
H
A
Avg. goals per match
2.75
2.3
Avg. corners per match
10.3
9.95
Avg. yellow cards per match
6
5.25
Avg. red cards per match
0
0
Trend Search
Specify the probability of a hit, and the tool will calculate what the total should be
To search
League & referee
We have detailed statistics not only on events, but also on referees and leagues
Serie B
Referee Matteo Gariglio
LIVE match center
Goals
100% from average (2)
2
0
0% from average (1.35)
Corner
77.52% from average (6.45)
5
4
100% from average (4)
Fouls
144.4% from average (13.85)
20
18
118.81% from average (15.15)
138.43% from average (27.45)
In the Live Center, we publish team match statistics, lineups, substitutions, and player stats. The information available depends on the specific championship coverage
Visit the LIVE Center
Team metrics
We try to show statistics for the last 20 matches, if that's what we have in our database. Also, when showing statistics for corners, shots, offsides, fouls, attacks, and passes, we exclude matches with zero results for these parameters from the calculations to ensure a more accurate picture, as these stats are not recorded for all leagues
Team
Monza
Ascoli
Goals per match average
2.75
2.3
Team goals per match average
2
1.35
Opponent goals per match average
1.1
1.15
Corners per match average
10.3
9.95
Team corners per match average
6.45
4
Opponent corners per match average
3.85
5.65
Yellow cards per match average
6
5.25
Referee stats
Average referee statistics at the start of the match. For detailed statistics with filters, click here.
Average fouls per game
30.37
Home team fouls per match average
15.11
Away team fouls per match average
14.6
Average yellow cards per match
5.25
Home Team Yellow Cards per Match
2.45
Away team yellow cards per match average
2.8
Red cards per match average
0
Interesting facts about the team Monza
General
Monza
Opponents
In 20 matches consecutively, at least 1 goals are filled in total
In 7 matches consecutively, no more than 4 goals are filled in total
In 5 matches consecutive yellow cards the total number of yellow cards does not fall below 4
In 20 matches consecutive yellow cards the total number of yellow cards does not rise above 12
20 matches in a row, not a single red card has been issued to either the team or their opponents
Judging by the last matches, Monza" sometimes it wins, sometimes it loses, sometimes it's a draw, everything is unstable
In 20 matches in a row "Monza" scores no more than 4 goals
In 5 matches in a row "Monza" receives at least 2 yellow cards
In 20 matches in a row "Monza" receives no more than 8 yellow cards
20 matches in a row "Monza" doesn't receive a single red card
In 11 matches consecutive games, opponents score no more than 2 goals
In 16 matches consecutive team opponents "Monza" receive at least 2 yellow cards
In 20 matches consecutive team opponents "Monza" receive no more than 7 yellow cards
20 matches matches in a row, the team's opponents have not received a single red card
Interesting facts about the team Ascoli
General
Ascoli
Opponents
In 16 matches consecutively, at least 1 goals are filled in total
In 5 matches consecutively, no more than 3 goals are filled in total
In 20 matches consecutive yellow cards the total number of yellow cards does not fall below 3
In 6 matches consecutive yellow cards the total number of yellow cards does not rise above 4
20 matches in a row, not a single red card has been issued to either the team or their opponents
Judging by the last matches, Ascoli" sometimes it wins, sometimes it loses, sometimes it's a draw, everything is unstable
In 8 matches in a row "Ascoli" scores no more than 2 goals
In 20 matches in a row "Ascoli" receives at least 1 yellow card
In 6 matches in a row "Ascoli" receives no more than 2 yellow cards
20 matches in a row "Ascoli" doesn't receive a single red card
In 5 matches consecutive games, opponents score no more than 2 goals
In 20 matches consecutive team opponents "Ascoli" receive at least 1 yellow card
In 11 matches consecutive team opponents "Ascoli" receive no more than 3 yellow cards
20 matches matches in a row, the team's opponents have not received a single red card
Brief Overview
Monza will face Ascoli 06.04.2022 as the home side. This match will be officiated by Matteo Gariglio. The teams' rivalry is limited to one league and has never gone beyond it. For 2 season the teams have been facing each other.
This is the LIVE match center Monza - Ascoli 06.04.2022
Detailed match statistics, match events, and team lineups
Match Statistics
Goals
100% from average (2)
2
0
0% from average (1.35)
Possession
83% from average (56.8)
47%
53%
110% from average (48.4)
Corner
78% from average (6.45)
5
4
100% from average (4)
Yellow cards
136% from average (2.2)
3
1
38% from average (2.6)
71% from average (5.65)
Red cards
0% from average (0.8)
0
0
0% from average (0.75)
0% from average (0.5)
Fouls
144% from average (13.85)
20
18
119% from average (15.15)
138% from average (27.45)
Shots on goal
56% from average (14.3)
8
13
95% from average (13.65)
Shots on target
69% from average (4.35)
3
4
90% from average (4.45)
Shots Off Target
50% from average (9.95)
5
9
99% from average (9.1)
Blocked Shots
118% from average (2.55)
3
4
118% from average (3.4)
Shots from the penalty area
42% from average (9.63)
4
7
90% from average (7.79)
Shots from outside the penalty area
105% from average (4.74)
5
5
87% from average (5.74)
Passes
83% from average (440.84)
366
410
107% from average (384.26)
Successful passes
76% from average (354.26)
271
321
109% from average (293.79)
Passing accuracy
93% from average (79.33)
74.04%
78.29%
103% from average (76.04)
Attacks
84% from average (115.1)
97
109
106% from average (102.45)
Dangerous Attacks
53% from average (55.1)
29
30
70% from average (42.6)
Offsides
115% from average (1.74)
2
2
143% from average (1.4)
Saves
125% from average (2.4)
3
2
58% from average (3.42)
Substitutions
118% from average (5.1)
6
7
137% from average (5.1)
Goal kicks
- from average (0)
0
0
- from average (0)
Goal Attempts
66% from average (10.65)
7
8
90% from average (8.85)
Free Kicks
- from average (0)
0
0
- from average (0)
Throw-ins
- from average (0)
0
0
- from average (0)
Ball Safe
96% from average (105.35)
101
87
88% from average (99.4)
Match Progress
The match has begun - the first half is underway
0
:0
Yellow Card
14’
N. Falasco
Goal
16’
M. Valoti
1
:0
Yellow Card
19’
V. Antov
Penalty
28’
C. Gytkjaer
2
:0
The match has continued - the second half is underway
2
:0
Substitution
46’
E. Botteghin
A. Salvi
Substitution
46’
F. Ricci
F. Dionisi
Substitution
46’
F. Ricci
F. Dionisi
Substitution
46’
V. Antov
G. Donati
Yellow Card
57’
G. Donati
Yellow Card
57’
G. Donati
Substitution
58’
M. Buchel
F. Caligara
Substitution
59’
C. Gytkjaer
Dany Mota
Substitution
68’
D. Saric
S. Bidaoui
Substitution
77’
M. D'Alessandro
J. Machin
Yellow Card
78’
M. Valoti
Substitution
81’
A. Iliev
A. De Paoli
Substitution
86’
M. Valoti
A. Colpani
Substitution
86’
P. Ciurria
A. Favilli
Match finished
2
:
Starting lineups
№
Player
16
Michele Di Gregorio
~
~
~
+1
26
Valentin Antov
~
1
~
+2
5
Luca Caldirola
~
~
~
+1
30
Carlos Augusto
~
~
~
+1
13
Pedro Pereira
~
~
~
+2
79
Salvatore Molina
~
~
~
~
8
Andrea Barberis
~
~
~
+2
10
Mattia Valoti
~
1
1
+4
77
Marco D'Alessandro
~
~
~
+2
84
Patrick Ciurria
~
~
~
+4
9
Christian Gytkjær
~
~
1
+4
№
Player
13
Enrico Guarna
~
~
~
~
55
Giuseppe Bellusci
~
~
~
+2
33
Eric Botteghin
~
~
~
+1
54
Nicola Falasco
~
1
~
+2
6
Federico Baschirotto
~
~
~
+2
18
Michele Collocolo
~
~
~
+2
77
Marcel Büchel
~
~
~
+1
30
Dario Šarić
~
~
~
+4
7
Luca Paganini
~
~
~
+4
8
Federico Ricci
~
~
~
+2
11
Atanas Iliev
~
~
~
+1
Substitutions
№
Player
19
Andrea Favilli
~
~
~
+1
11
Leonardo Mancuso
~
~
~
~
20
Antonis Siatounis
~
~
~
~
98
Lorenzo Pirola
~
~
~
~
1
Eugenio Lamanna
~
~
~
~
18
Davide Bettella
~
~
~
~
47
Dany Mota
~
~
~
+3
7
José Machín
~
~
~
+1
33
Marco Brescianini
~
~
~
~
21
Gastón Ramírez
~
~
~
~
28
Andrea Colpani
~
~
~
+2
2
Giulio Donati
~
~
~
+2
№
Player
99
Anthony Fontana
~
~
~
~
2
Alessandro Salvi
~
~
~
+1
32
Fabrizio Caligara
~
~
~
+1
9
Federico Dionisi
~
~
~
+2
4
Aljaž Tavčar
~
~
~
~
40
Andrea De Paoli
~
~
~
~
26
Soufiane Bidaoui
~
~
~
+1
29
Filippo Palazzino
~
~
~
~
12
Luca Bolletta
~
~
~
~
1
Nicola Leali
~
~
~
~
37
Fabio Maistro
~
~
~
~
36
Andrea Franzolini
~
~
~
~
These are detailed team statistics
We offer team statistics for 8 indicators. Fill in the filters below to see a list of matches and summary data for home and away teams
These are the referee's detailed match statistics Monza - Ascoli 06.04.2022
We offer referee statistics on 3 indicators. Fill in the filters below to see the match list and summary data
These are machine learning-based predictions (Machine Learning, ML)
ML predictions are an exclusive and unique feature of UNION STAT. Our servers run special mathematical algorithms that calculate the strength of teams and perform analysis based on pseudo-random event prediction algorithms. We do not accept these predictions “somewhere”, we developed the system and implemented it ourselves, exclusively for our website. The algorithm uses machine learning technologies and conventional calculation methods. To help the community understand what we offer, we disclose the methodology in a separate article. Important! The match predictions we publish are not a call for betting and are intended solely for “highlight” You need matches or parameters for independent analysis. The ML system does not replace humans!
Match prediction value calculator
Thinking about your prediction for this match? Check the bookmaker's odds value using the calculator to determine whether a bet is worth making. The calculator will show the statistical probability of a winning bet and compare it to the probability implied by the bookmaker's odds. Learn more about how this tool works and become familiar with the algorithm for calculating the statistical rating.
These are detailed statistics of head-to-head meetings Monza and Ascoli before the match 06.04.2022
We offer team statistics for 8 indicators. Fill in the filters below to see the match list and summary data
This tool will help you find the right trend for a match Monza - Ascoli 06.04.2022
This tool uses the entered probability to show which trend works at that probability for teams, referees, and the league. Learn more about how this tool works